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Article . 2016
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Preferences in artificial intelligence

Authors: Pigozzi, Gabriella; Tsoukiàs, Alexis; Viappiani, Paolo;

Preferences in artificial intelligence

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Keywords

Non-monotonic logic, 330, Learning and adaptive systems in artificial intelligence, Social choice, [INFO] Computer Science [cs], preferences in logic, Non classical preference models, Representation of preferences, Preferences, utility elicitation, reasoning about preferences, Reasoning about preferences, Preference elicitation, preferences, Utility elicitation, preference elicitation, Logic in artificial intelligence, Preference-based systems, Preferences in logic, nonmonotonic logic, representation of preferences, Intelligence artificielle, Reasoning under uncertainty in the context of artificial intelligence, 004, Knowledge representation, preference-based systems, 006.3, nonclassical preference models

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    64
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 10%
Top 10%
Green
hybrid